Ji-Rong Wen

Affiliations:
  • Renmin University of China, Beijing, China
  • Microsoft Research (former)


According to our database1, Ji-Rong Wen authored at least 490 papers between 2000 and 2024.

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Bibliography

2024
Index-free triangle-based graph local clustering.
Frontiers Comput. Sci., June, 2024

Syntactic-Informed Graph Networks for Sentence Matching.
ACM Trans. Inf. Syst., March, 2024

Integrated Personalized and Diversified Search Based on Search Logs.
IEEE Trans. Knowl. Data Eng., February, 2024

KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph.
CoRR, 2024

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning.
CoRR, 2024

Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint.
CoRR, 2024

Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis.
CoRR, 2024

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models.
CoRR, 2024

Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models.
CoRR, 2024

Approximating Single-Source Personalized PageRank with Absolute Error Guarantees.
Proceedings of the 27th International Conference on Database Theory, 2024

2023
Complex Knowledge Base Question Answering: A Survey.
IEEE Trans. Knowl. Data Eng., November, 2023

Enhancing Multi-View Smoothness for Sequential Recommendation Models.
ACM Trans. Inf. Syst., October, 2023

Contrastive Learning for Legal Judgment Prediction.
ACM Trans. Inf. Syst., October, 2023

Enhancing Recommendation with Search Data in a Causal Learning Manner.
ACM Trans. Inf. Syst., October, 2023

Data Augmented Sequential Recommendation Based on Counterfactual Thinking.
IEEE Trans. Knowl. Data Eng., September, 2023

Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity.
IEEE Trans. Knowl. Data Eng., July, 2023

DeepQFM: a deep learning based query facets mining method.
Inf. Retr. J., June, 2023

Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning.
Int. J. Comput. Vis., May, 2023

A Revisiting Study of Appropriate Offline Evaluation for Top-<i>N</i> Recommendation Algorithms.
ACM Trans. Inf. Syst., April, 2023

GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification.
ACM Trans. Inf. Syst., April, 2023

Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection.
ACM Trans. Intell. Syst. Technol., April, 2023

DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index.
Mach. Intell. Res., April, 2023

Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning.
Mach. Intell. Res., April, 2023

Deep understanding of big geo-social data for autonomous vehicles.
Neural Comput. Appl., February, 2023

Self-supervised audiovisual representation learning for remote sensing data.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023

Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-<i>N</i> Recommendation.
ACM Trans. Inf. Syst., January, 2023

Integrating Representation and Interaction for Context-Aware Document Ranking.
ACM Trans. Inf. Syst., January, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Text-to-Chinese-painting Method Based on Multi-domain VQGAN.
Int. J. Softw. Informatics, 2023

A Survey of Reasoning with Foundation Models.
CoRR, 2023

UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction.
CoRR, 2023

Scaling Law of Large Sequential Recommendation Models.
CoRR, 2023

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation.
CoRR, 2023

Enabling Large Language Models to Learn from Rules.
CoRR, 2023

Are We Falling in a Middle-Intelligence Trap? An Analysis and Mitigation of the Reversal Curse.
CoRR, 2023

AI-accelerated Discovery of Altermagnetic Materials.
CoRR, 2023

Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment.
CoRR, 2023

Don't Make Your LLM an Evaluation Benchmark Cheater.
CoRR, 2023

What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning.
CoRR, 2023

From Indeterminacy to Determinacy: Augmenting Logical Reasoning Capabilities with Large Language Models.
CoRR, 2023

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems.
CoRR, 2023

BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models.
CoRR, 2023

Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection.
CoRR, 2023

A Survey on Large Language Model based Autonomous Agents.
CoRR, 2023

Large Language Models for Information Retrieval: A Survey.
CoRR, 2023

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops.
CoRR, 2023

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.
CoRR, 2023

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community.
CoRR, 2023

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study.
CoRR, 2023

RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit.
CoRR, 2023

RecAgent: A Novel Simulation Paradigm for Recommender Systems.
CoRR, 2023

Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning.
CoRR, 2023

Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning.
CoRR, 2023

The Web Can Be Your Oyster for Improving Large Language Models.
CoRR, 2023

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach.
CoRR, 2023

Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation.
CoRR, 2023

RenderDiffusion: Text Generation as Image Generation.
CoRR, 2023

WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus.
CoRR, 2023

A Survey of Large Language Models.
CoRR, 2023

Scaling Pre-trained Language Models to Deeper via Parameter-efficient Architecture.
CoRR, 2023

Dually Enhanced Propensity Score Estimation in Sequential Recommendation.
CoRR, 2023

REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation.
CoRR, 2023

Incorporating Explicit Subtopics in Personalized Search.
Proceedings of the ACM Web Conference 2023, 2023

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Alleviating the Long-Tail Problem in Conversational Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Generative Next-Basket Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reward Imputation with Sketching for Contextual Batched Bandits.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CTDA: Contrastive Temporal Domain Adaptation for Action Segmentation.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Binary Neural Network for Video Action Recognition.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Spatio-Temporal Branching for Motion Prediction using Motion Increments.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Conversational Recommendation Systems via Counterfactual Data Simulation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PSLOG: Pretraining with Search Logs for Document Ranking.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Contrastive Learning for User Sequence Representation in Personalized Product Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Diffusion Models for Non-autoregressive Text Generation: A Survey.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Sequential Recommendation with User Causal Behavior Discovery.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Thorough Examination on Zero-shot Dense Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evaluating Object Hallucination in Large Vision-Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

StructGPT: A General Framework for Large Language Model to Reason over Structured Data.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Efficient and Effective Transformers for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

VILE: Block-Aware Visual Enhanced Document Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

SSP: Self-Supervised Post-training for Conversational Search.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MVP: Multi-task Supervised Pre-training for Natural Language Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning to Imagine: Visually-Augmented Natural Language Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TOME: A Two-stage Approach for Model-based Retrieval.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

The Web Can Be Your Oyster for Improving Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Visually-augmented pretrained language models for NLP tasks without images.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Zero-shot Visual Question Answering with Language Model Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Learning towards conversational AI: A survey.
AI Open, January, 2022

Clarifying Ambiguous Keywords with Personal Word Embeddings for Personalized Search.
ACM Trans. Inf. Syst., 2022

Knowledge-Guided Disentangled Representation Learning for Recommender Systems.
ACM Trans. Inf. Syst., 2022

Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction.
ACM Trans. Inf. Syst., 2022

Persistent Summaries.
ACM Trans. Database Syst., 2022

Looking Back on the Past: Active Learning With Historical Evaluation Results.
IEEE Trans. Knowl. Data Eng., 2022

Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Edge-based Local Push for Personalized PageRank.
Proc. VLDB Endow., 2022

Linear and Deep Order-Preserving Wasserstein Discriminant Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Class-Aware Sounding Objects Localization via Audiovisual Correspondence.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

AP-GAN: Adversarial patch attack on content-based image retrieval systems.
GeoInformatica, 2022

TextBox 2.0: A Text Generation Library with Pre-trained Language Models.
CoRR, 2022

Recent Advances in RecBole: Extensions with more Practical Considerations.
CoRR, 2022

Dense Text Retrieval based on Pretrained Language Models: A Survey.
CoRR, 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.
CoRR, 2022

Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach.
CoRR, 2022

Partial Information as Full: Reward Imputation with Sketching in Bandits.
CoRR, 2022

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language.
CoRR, 2022

A Brief History of Recommender Systems.
CoRR, 2022

Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer.
CoRR, 2022

Multimodal foundation models are better simulators of the human brain.
CoRR, 2022

Negative Sampling for Contrastive Representation Learning: A Review.
CoRR, 2022

Sequential Recommendation with Causal Behavior Discovery.
CoRR, 2022

DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index.
CoRR, 2022

Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation.
CoRR, 2022

A Survey of Pretrained Language Models Based Text Generation.
CoRR, 2022

Filter-enhanced MLP is All You Need for Sequential Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Unbiased Sequential Recommendation with Latent Confounders.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Model-Agnostic Causal Learning Framework for Recommendation using Search Data.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Probabilistic Box Embeddings for Effective and Efficient Ranking.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Category-aware Multi-interest Model for Personalized Product Search.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Session Search by Modeling Multi-Granularity Historical Query Change.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Generating Clarifying Questions with Web Search Results.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neural Graph Matching for Pre-training Graph Neural Networks.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Modeling Two-Way Selection Preference for Person-Job Fit.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Supervised Contrastive Learning for Few-Shot Action Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Log-Polar Space Convolution Layers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learning to Transfer Prompts for Text Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

$Great Truths are Always Simple: $ A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Knowledge Enhanced Search Result Diversification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Universal Sequence Representation Learning for Recommender Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

STAR-GNN: Spatial-Temporal Video Representation for Content-Based Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Privacy-Preserved Neural Graph Similarity Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Message from Data Science and Systems 2022 General Chairs.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

TextBox 2.0: A Text Generation Library with Pre-trained Language Models.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Multi-Modal Knowledge Graph for Classical Chinese Poetry.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Leveraging Search History for Improving Person-Job Fit.
Proceedings of the Database Systems for Advanced Applications, 2022

COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Answer Questions in Dynamic Audio-Visual Scenarios.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Optimal Partial Transport Based Sentence Selection for Long-form Document Matching.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Semantic Sentence Matching via Interacting Syntax Graphs.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Context-Tuning: Learning Contextualized Prompts for Natural Language Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

RecBole 2.0: Towards a More Up-to-Date Recommendation Library.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Dually Enhanced Propensity Score Estimation in Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Debiased Contrastive Learning of Unsupervised Sentence Representations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Finding the Dominant Winning Ticket in Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
ExactSim: benchmarking single-source SimRank algorithms with high-precision ground truths.
VLDB J., 2021

RLPS: A Reinforcement Learning-Based Framework for Personalized Search.
ACM Trans. Inf. Syst., 2021

Multi-Response Awareness for Retrieval-Based Conversations: Respond with Diversity via Dynamic Representation Learning.
ACM Trans. Inf. Syst., 2021

Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Pyramid regional graph representation learning for content-based video retrieval.
Inf. Process. Manag., 2021

Deep understanding of big geospatial data for self-driving cars.
Neurocomputing, 2021

Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci., 2021

WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model.
CoRR, 2021

Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need.
CoRR, 2021

Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot.
CoRR, 2021

Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm.
CoRR, 2021

Log-Polar Space Convolution for Convolutional Neural Networks.
CoRR, 2021

Pre-Trained Models: Past, Present and Future.
CoRR, 2021

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation.
CoRR, 2021

Pretrained Language Models for Text Generation: A Survey.
CoRR, 2021

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training.
CoRR, 2021

TextBox: A Unified, Modularized, and Extensible Framework for Text Generation.
CoRR, 2021

Pre-trained models: Past, present and future.
AI Open, 2021

FedPS: A Privacy Protection Enhanced Personalized Search Framework.
Proceedings of the WWW '21: The Web Conference 2021, 2021

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation.
Proceedings of the WSDM '21, 2021

Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals.
Proceedings of the WSDM '21, 2021

Domain-Adaptive Few-Shot Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Group based Personalized Search by Integrating Search Behaviour and Friend Network.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Counterfactual Data-Augmented Sequential Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Modeling Intent Graph for Search Result Diversification.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Pchatbot: A Large-Scale Dataset for Personalized Chatbot.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Knowledge-based Review Generation by Coherence Enhanced Text Planning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Compressed Video Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Approximate Graph Propagation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Debiasing Learning based Cross-domain Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Pretrained Language Model for Text Generation: A Survey.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Complex Action Segmentation in Compressed Videos.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Counterfactual VQA: A Cause-Effect Look at Language Bias.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Few-Shot Charge Prediction with Multi-grained Features and Mutual Information.
Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning Implicit User Profile for Personalized Retrieval-Based Chatbot.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Interaction-Based Document Matching for Implicit Search Result Diversification.
Proceedings of the Information Retrieval - 27th China Conference, 2021

Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

CRSLab: An Open-Source Toolkit for Building Conversational Recommender System.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

TextBox: A Unified, Modularized, and Extensible Framework for Text Generation.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Regret Bounds for Online Kernel Selection in Continuous Kernel Space.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale.
ACM Trans. Inf. Syst., 2020

ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation.
Inf. Retr. J., 2020

Deep cross-platform product matching in e-commerce.
Inf. Retr. J., 2020

Low-cost, bottom-up measures for evaluating search result diversification.
Inf. Retr. J., 2020

Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning.
Int. J. Comput. Vis., 2020

Pchatbot: A Large-Scale Dataset for Personalized Chatbot.
CoRR, 2020

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
CoRR, 2020

Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient.
CoRR, 2020

Domain-Adaptive Few-Shot Learning.
CoRR, 2020

AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning.
CoRR, 2020

RLPer: A Reinforcement Learning Model for Personalized Search.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Enhancing Re-finding Behavior with External Memories for Personalized Search.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Exact Single-Source SimRank Computation on Large Graphs.
Proceedings of the 2020 International Conference on Management of Data, 2020

Encoding History with Context-aware Representation Learning for Personalized Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Employing Personal Word Embeddings for Personalized Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Reinforcement Learning to Rank with Pairwise Policy Gradient.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Sequential Recommendation with Self-Attentive Multi-Adversarial Network.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Knowledge Enhanced Personalized Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Counterfactual learning for recommender system.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Scalable Graph Neural Networks via Bidirectional Propagation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Lightweight Action Recognition in Compressed Videos.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Towards Topic-Guided Conversational Recommender System.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Leveraging Historical Interaction Data for Improving Conversational Recommender System.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Diversifying Search Results using Self-Attention Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

PSTIE: Time Information Enhanced Personalized Search.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Leveraging Multi-Token Entities in Document-Level Named Entity Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Correction to "Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites".
IEEE Trans. Knowl. Data Eng., 2019

Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation.
IEEE Trans. Image Process., 2019

KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems.
Data Intell., 2019

Mobile Video Action Recognition.
CoRR, 2019

Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN.
CoRR, 2019

Pre-training of Context-aware Item Representation for Next Basket Recommendation.
CoRR, 2019

A Long-Short Demands-Aware Model for Next-Item Recommendation.
CoRR, 2019

Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

RUCIR at TREC 2019: Conversational Assistance Track.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs.
Proceedings of the 2019 International Conference on Management of Data, 2019

PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Name Entity Recognition with Policy-Value Networks.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Coarse-to-Fine Grained Classification.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Zero-Shot Learning with Few Seen Class Samples.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

RUM: Network Representation Learning Using Motifs.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

A Neural Citation Count Prediction Model based on Peer Review Text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Recursive Visual Attention in Visual Dialog.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Face-Focused Cross-Stream Network for Deception Detection in Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

News Graph: An Enhanced Knowledge Graph for News Recommendation.
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, 2019

Document-Level Named Entity Recognition by Incorporating Global and Neighbor Features.
Proceedings of the Information Retrieval - 25th China Conference, 2019

Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Personalized Web Search.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Entity set expansion with semantic features of knowledge graphs.
J. Web Semant., 2018

Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems.
ACM Trans. Inf. Syst., 2018

Search Result Diversity Evaluation Based on Intent Hierarchies.
IEEE Trans. Knowl. Data Eng., 2018

Supervised Search Result Diversification via Subtopic Attention.
IEEE Trans. Knowl. Data Eng., 2018

Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites.
IEEE Trans. Knowl. Data Eng., 2018

Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts.
ACM Trans. Knowl. Discov. Data, 2018

Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation.
IEEE Trans. Cybern., 2018

A time-aware trajectory embedding model for next-location recommendation.
Knowl. Inf. Syst., 2018

Zero-Shot Learning with Sparse Attribute Propagation.
CoRR, 2018

TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs.
Proceedings of the 2018 International Conference on Management of Data, 2018

Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

An Attribute-aware Neural Attentive Model for Next Basket Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Domain-Invariant Projection Learning for Zero-Shot Recognition.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improving Person Re-identification by Body Parts Segmentation Generated by GAN.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Skip-Connected Deep Convolutional Autoencoder for Restoration of Document Images.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Zero-Shot Learning with Superclasses.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

Personalizing Search Results Using Hierarchical RNN with Query-aware Attention.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Neural Labeled Network Embedding Approach to Product Adopter Prediction.
Proceedings of the Information Retrieval Technology, 2018

2017
Searching Trajectories by Regions of Interest.
IEEE Trans. Knowl. Data Eng., 2017

Generating Query Facets Using Knowledge Bases.
IEEE Trans. Knowl. Data Eng., 2017

Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2017

Mining collective knowledge: inferring functional labels from online review for business.
Knowl. Inf. Syst., 2017

An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data.
J. Comput. Sci. Technol., 2017

Ranking and tagging bursty features in text streams with context language models.
Frontiers Comput. Sci., 2017

RUM: network Representation learning throUgh Multi-level structural information preservation.
CoRR, 2017

Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics.
CoRR, 2017

Entity Set Expansion via Knowledge Graphs.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Learning to Diversify Search Results via Subtopic Attention.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Graph-boosted convolutional neural networks for semantic segmentation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Neural Collaborative Filtering Model with Interaction-based Neighborhood.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Efficiently Answering Technical Questions - A Knowledge Graph Approach.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs.
World Wide Web, 2016

Following the dynamic block on the Web.
World Wide Web, 2016

A Probabilistic Lifestyle-Based Trajectory Model for Social Strength Inference from Human Trajectory Data.
ACM Trans. Inf. Syst., 2016

A General Multi-Context Embedding Model for Mining Human Trajectory Data.
IEEE Trans. Knowl. Data Eng., 2016

Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information.
IEEE Trans. Knowl. Data Eng., 2016

Collective Travel Planning in Spatial Networks.
IEEE Trans. Knowl. Data Eng., 2016

EIC Editorial.
IEEE Trans. Knowl. Data Eng., 2016

Automatically Mining Facets for Queries from Their Search Results.
IEEE Trans. Knowl. Data Eng., 2016

Mining Product Adopter Information from Online Reviews for Improving Product Recommendation.
ACM Trans. Knowl. Discov. Data, 2016

Unsupervised Head-Modifier Detection in Search Queries.
ACM Trans. Knowl. Discov. Data, 2016

Exploring demographic information in social media for product recommendation.
Knowl. Inf. Syst., 2016

Dynamic Shortest Path Monitoring in Spatial Networks.
J. Comput. Sci. Technol., 2016

Enhancing web search with queries of equivalent intents.
Inf. Retr. J., 2016

Finding regions of interest using location based social media.
Neurocomputing, 2016

Prediction-based Unobstructed Route Planning.
Neurocomputing, 2016

Image classification by visual bag-of-words refinement and reduction.
Neurocomputing, 2016

Multi-view ensemble learning for dementia diagnosis from neuroimaging: An artificial neural network approach.
Neurocomputing, 2016

Generating timeline summaries with social media attention.
Frontiers Comput. Sci., 2016

Matrix Sketching Over Sliding Windows.
Proceedings of the 2016 International Conference on Management of Data, 2016

Evaluating Search Result Diversity using Intent Hierarchies.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

RUCIR at NTCIR-12 IMINE-2 Task.
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

Learning abstract snippet detectors with Temporal embedding in convolutional neural Networks.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Discovering Neighborhood Pattern Queries by sample answers in knowledge base.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Probabilistic Nearest Neighbor Query in Traffic-Aware Spatial Networks.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Learning Distributed Representations for Recommender Systems with a Network Embedding Approach.
Proceedings of the Information Retrieval Technology, 2016

2015
A General SIMD-Based Approach to Accelerating Compression Algorithms.
ACM Trans. Inf. Syst., 2015

Incorporating Social Role Theory into Topic Models for Social Media Content Analysis.
IEEE Trans. Knowl. Data Eng., 2015

Discovery of Path Nearby Clusters in Spatial Networks.
IEEE Trans. Knowl. Data Eng., 2015

Semantic Sparse Recoding of Visual Content for Image Applications.
IEEE Trans. Image Process., 2015

VID Join: Mapping Trajectories to Points of Interest to Support Location-Based Services.
J. Comput. Sci. Technol., 2015

Search Result Diversification Based on Query Facets.
J. Comput. Sci. Technol., 2015

Dimension reduction with meta object-groups for efficient image retrieval.
Neurocomputing, 2015

Planning unobstructed paths in traffic-aware spatial networks.
GeoInformatica, 2015

Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets.
CoRR, 2015

Persistent Data Sketching.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Query Understanding through Knowledge-Based Conceptualization.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Social Image Parsing by Cross-Modal Data Refinement.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Bring User Interest to Related Entity Recommendation.
Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2015

An Inference Approach to Basic Level of Categorization.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Search Result Diversification Based on Hierarchical Intents.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Contextual Text Understanding in Distributional Semantic Space.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Concept-based Short Text Classification and Ranking.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Within-Network Classification Using Radius-Constrained Neighborhood Patterns.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Personalizing Web Search Results Based on Subspace Projection.
Proceedings of the Information Retrieval Technology, 2014

Direct Semantic Analysis for Social Image Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Improving Context and Category Matching for Entity Search.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
SocialSearch + : enriching social network with web evidences.
World Wide Web, 2013

Hybrid entity clustering using crowds and data.
VLDB J., 2013

Mining Frequent Neighborhood Patterns in Large Labeled Graphs
CoRR, 2013

Numeric query ranking approach.
Proceedings of the 22nd International World Wide Web Conference, 2013

Improving Web Search Ranking by Incorporating Structured Annotation of Queries.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Mining frequent neighborhood patterns in a large labeled graph.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Using Dempster-Shafer's Evidence Theory for Query Expansion Based on Freebase Knowledge.
Proceedings of the Information Retrieval Technology, 2013

2012
Statistical Entity Extraction From the Web.
Proc. IEEE, 2012

Multi-aspect query summarization by composite query.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

New assessment criteria for query suggestion.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Adaptive query suggestion for difficult queries.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

AspecTiles: tile-based visualization of diversified web search results.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

The wisdom of advertisers: mining subgoals via query clustering.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
A conversation with MSRA researchers.
SIGKDD Explor., 2011

The first international workshop on entity-oriented search (EOS).
SIGIR Forum, 2011

Select-the-Best-Ones: A new way to judge relative relevance.
Inf. Process. Manag., 2011

Multi-dimensional search result diversification.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

SocialSearch: enhancing entity search with social network matching.
Proceedings of the EDBT 2011, 2011

Finding dimensions for queries.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Closing the Loop in Webpage Understanding.
IEEE Trans. Knowl. Data Eng., 2010

Estimating Mobile-Friendliness Scores of Web Pages.
IEICE Trans. Inf. Syst., 2010

Revisiting globally sorted indexes for efficient document retrieval.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

BioSnowball: automated population of Wikis.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Navigation system for product search.
Proceedings of the 26th International Conference on Data Engineering, 2010

Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches.
Proceedings of the COLING 2010, 2010

Efficient term proximity search with term-pair indexes.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Personalized Web Search.
Proceedings of the Encyclopedia of Database Systems, 2009

Enhancing Web Search through Web Structure Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Enhancing Web Search through Query Log Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Evaluating the Effectiveness of Personalized Web Search.
IEEE Trans. Knowl. Data Eng., 2009

Effective top-k computation with term-proximity support.
Inf. Process. Manag., 2009

StatSnowball: a statistical approach to extracting entity relationships.
Proceedings of the 18th International Conference on World Wide Web, 2009

Microsoft Research Asia at the Web Track of TREC 2009.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

Using anchor texts with their hyperlink structure for web search.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Query result clustering for object-level search.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Efficient record-level wrapper induction.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Nonlinear static-rank computation.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Clustering queries for better document ranking.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Employing Topic Models for Pattern-based Semantic Class Discovery.
Proceedings of the ACL 2009, 2009

2008
Webpage understanding: beyond page-level search.
SIGMOD Rec., 2008

A systematic study on parameter correlations in large-scale duplicate document detection.
Knowl. Inf. Syst., 2008

Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction.
J. Mach. Learn. Res., 2008

Pictor: an interactive system for importing data from a website.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Viewing Term Proximity from a Different Perspective.
Proceedings of the Advances in Information Retrieval , 2008

Can phrase indexing help to process non-phrase queries?
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Pattern-based semantic class discovery with multi-membership support.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Scalable community discovery on textual data with relations.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Are click-through data adequate for learning web search rankings?
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Clustering and searching WWW images using link and page layout analysis.
ACM Trans. Multim. Comput. Commun. Appl., 2007

Identifying ambiguous queries in web search.
Proceedings of the 16th International Conference on World Wide Web, 2007

Web object retrieval.
Proceedings of the 16th International Conference on World Wide Web, 2007

A large-scale evaluation and analysis of personalized search strategies.
Proceedings of the 16th International Conference on World Wide Web, 2007

Webstudio: building infrastructure for web data management.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Webpage understanding: an integrated approach.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Joint optimization of wrapper generation and template detection.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Dynamic hierarchical Markov random fields and their application to web data extraction.
Proceedings of the Machine Learning, 2007

Improve Ranking by Using Image Information.
Proceedings of the Advances in Information Retrieval, 2007

Effective top-k computation in retrieving structured documents with term-proximity support.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Object-level Vertical Search.
Proceedings of the Third Biennial Conference on Innovative Data Systems Research, 2007

Template-Independent News Extraction Based on Visual Consistency.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Detecting online commercial intention (OCI).
Proceedings of the 15th international conference on World Wide Web, 2006

Simultaneous record detection and attribute labeling in web data extraction.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Query Selection Techniques for Efficient Crawling of Structured Web Sources.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Extracting Objects from the Web.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Automated known problem diagnosis with event traces.
Proceedings of the 2006 EuroSys Conference, Leuven, Belgium, April 18-21, 2006, 2006

Exploring URL Hit Priors for Web Search.
Proceedings of the Advances in Information Retrieval, 2006

Pseudo-anchor text extraction for searching vertical objects.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Object-level ranking: bringing order to Web objects.
Proceedings of the 14th international conference on World Wide Web, 2005

Gravitation-based model for information retrieval.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Efficient Browsing of Web Search Results on Mobile Devices Based on Block Importance Model.
Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications (PerCom 2005), 2005

2D Conditional Random Fields for Web information extraction.
Proceedings of the Machine Learning, 2005

2004
Learning important models for web page blocks based on layout and content analysis.
SIGKDD Explor., 2004

Learning block importance models for web pages.
Proceedings of the 13th international conference on World Wide Web, 2004

Instance-based Schema Matching for Web Databases by Domain-specific Query Probing.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Microsoft Research Asia at Web Track and Terabyte Track of TREC 2004.
Proceedings of the Thirteenth Text REtrieval Conference, 2004

Probabilistic model for contextual retrieval.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Block-based web search.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Block-level link analysis.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Hierarchical clustering of WWW image search results using visual, textual and link information.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Combining High Level Symptom Descriptions and Low Level State Information for Configuration Fault Diagnosis.
Proceedings of the 18th Conference on Systems Administration (LISA 2004), 2004

Organizing WWW images based on the analysis of page layout and Web link structure.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Why PCs Are Fragile and What We Can Do About It: A Study of Windows Registry Problems.
Proceedings of the 2004 International Conference on Dependable Systems and Networks (DSN 2004), 28 June, 2004

A Query-Dependent Duplicate Detection Approach for Large Scale Search Engines.
Proceedings of the Advanced Web Technologies and Applications, 2004

2003
Query Expansion by Mining User Logs.
IEEE Trans. Knowl. Data Eng., 2003

A Multi-paradigm Querying Approach for a Generic Multimedia Database Management System.
SIGMOD Rec., 2003

Improving pseudo-relevance feedback in web information retrieval using web page segmentation.
Proceedings of the Twelfth International World Wide Web Conference, 2003

Microsoft Research Asia at the Web Track of TREC 2003.
Proceedings of The Twelfth Text REtrieval Conference, 2003

Text Classification Using Stochastic Keyword Generation.
Proceedings of the Machine Learning, 2003

Hierarchical Indexing and Flexible Element Retrieval for Structured Document.
Proceedings of the Advances in Information Retrieval, 2003

Cost-Driven Storage Schema Selection for XML.
Proceedings of the Eighth International Conference on Database Systems for Advanced Applications (DASFAA '03), 2003

Extracting Content Structure for Web Pages Based on Visual Representation.
Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003

Query Clustering in the Web Context.
Proceedings of the Clustering and Information Retrieval, 2003

2002
Query clustering using user logs.
ACM Trans. Inf. Syst., 2002

Probabilistic query expansion using query logs.
Proceedings of the Eleventh International World Wide Web Conference, 2002

Enhancive Index for Structured Document.
Proceedings of the 12th International Workshop on Research Issues in Data Engineering: Engineering E-Commerce/E-Business Systems, 2002

2001
Clustering user queries of a search engine.
Proceedings of the Tenth International World Wide Web Conference, 2001

Query Clustering Using Content Words and User Feedback.
Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

2000
POTENTIAL: A Highly Adaptive Core of Parallel Database System.
J. Comput. Sci. Technol., 2000

Towards a Next-Generation Search Engine.
Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000


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